Skip to content
Apart Research
Apart Research
Contact us
Sprint projectSep 13, 2026Pune

The Rule That Missed Its Own Reason for Existing

Dipina Paul

Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

Read the report

Report: The Rule That Missed Its Own Reason for Existing

Open in a new tab (opens in new tab)
Presentation

Presentation: The Rule That Missed Its Own Reason for Existing

Open in a new tab (opens in new tab)
Share

In July 2026, two OpenAI models breached test area and spent days inside Hugging Face's real systems. Two days later, US Congress passed a new bill to stop such incidents. The bill is called the AI Kill Switch Act. But the bill exempts such incidents occurring during safety tests. So, the bill would not have covered the incident that led to it. This report identifies that gap and crosschecks it against the bill's own text. This report also does a comparison of how similar incidents are being handled at three other places: the EU, California, and New York. Along with having a real deadline for reporting an AI incident, all three of them doesnot provide similar exemption as the US bill. This report thus recommends, specific fix to the bill's wording, and also suggests similar amendments to a second US bill, H.R. 9477, before its enactment.

Reviews

Judging this Sprint?

Review “The Rule That Missed Its Own Reason for Existing”

Your public critique appears on the project page without your name. Reviews of strong projects are shared with funders, as you choose below.

Not shown on the project page.

Shown on the project page, without your name.

Only the Apart team reads this, and funders if you agree below.

Decline to score

Only when the quality of the writing makes the work impossible to follow. Say why in your private critique; the project page shows only that a judge declined, not why.

How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.
Sharing your name *

When we share a strong project with funders, your name, scores and public critique go with it, confidentially; this choice is only about whether your name is public. If you think this project deserves funding, please also endorse it: that carries the most weight.

Share my private critique with funders *

See our Privacy Policy.

  1. I appreciate the author's analysis of existing regulations and whether they adequately capture the infamous HF incident. I had a bit of trouble understanding the methodology, and I don't think it's fair to say in the conclusion that any kill switch act has been "passed."

  2. The paper would benefit from more rigorous legal analysis grounded in the primary legislative texts, particularly on how each jurisdiction treats incidents that occur during testing.

Cite this project

@misc{paul2026rule,
  title = {{The Rule That Missed Its Own Reason for Existing}},
  author = {Dipina Paul},
  year = {2026},
  month = sep,
  note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/the-rule-that-missed-its-own-reason-for-existing-21vd}},
  url = {https://apartresearch.com/sprints/projects/the-rule-that-missed-its-own-reason-for-existing-21vd}
}

More from AI Incident Response Sprint

All 231 entriesBrowse all projects

Build something like this at the next Sprint

AI x Epistemics Research Sprint · Nov 13 - 15, 2026